scholarly journals On Government's Role in Innovating on System of Risk Investment

2013 ◽  
Author(s):  
Wang Xie yong
Keyword(s):  
Risk Investment

Risk Control Study Based on the Digital Recording Technology Industry Investment Projects in "Internet +"

2020 ◽  
Vol 14 ◽  
Author(s):  
Yan Zhou
Keyword(s):  
Venture Capital ◽  
Digital Technology ◽  
Risk Control ◽  
Investment Risk ◽  
Digital Recording ◽  
Project Investment ◽  
Recording Technology ◽  
Technology Project ◽  
Investment Evaluation ◽  
Risk Investment

Background: The reform and innovation of recording technology has resulted in recording becoming an exciting, developing project. Against the background of Internet +, traditional analogue technology has developed into digital recording technology, playing an important role in various fields. Venture capital in digital recording technology projects has also attracted attention from all circles. Objective: This paper aims to, by sorting out literature on venture capital, analyze the measurement method of project investment risk, and then, after analyzing the risk factors existing in the investment of digital recording technology under the “Internet +”, propose measures to control these risk factors. At the same time, taking CY company as an example, the investment risk prevention strategy of digital recording technology project is applied to the risk investment evaluation practice of CY company. Methods: This paper reviews and comments the literature on venture capital, and sorts out the evaluation methods of project investment risk. After studying the project investment risk of digital recording technology, this paper finds out the preventive strategies to deal with these risks, and applies them to risk investment evaluation of CY. This paper proposes investment suggestions basing on various factors, and makes an overall evaluation of the value of digital recording technology project, which hopefully will act as a reference for venture capital institutions when investing in digital recording technology in the future. Results: The countermeasures against investment risks in digital recording technology projects are: 1. Identification of countermeasures against investment risks in digital recording technology projects. 2. Encouragement and promotion of joint-stock cooperation and reduction of operational risks 3. Establishment and improvement of financial risk control. Conclusion: Digital technology, which is continuously improving, has penetrated recording technology. With mindful awareness of investment risks and careful investment in recording technology projects, digital technology can improve living standards while making the flexibility and form of recording work more artistic and enabling recording technology to reach new heights.

scholarly journals Lexicographic Orders of Intuitionistic Fuzzy Values and Their Relationships

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 166 ◽  
Author(s):  
Feng Feng ◽  
Meiqi Liang ◽  
Hamido Fujita ◽  
Ronald Yager ◽  
Xiaoyan Liu
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Scalar Product ◽  
Multiple Attribute Decision Making ◽  
Benchmark Problem ◽  
Score Functions ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Risk Investment ◽  
Membership Score

Intuitionistic fuzzy multiple attribute decision making deals with the issue of ranking alternatives based on the decision information quantified in terms of intuitionistic fuzzy values. Lexicographic orders can serve as efficient and indispensable tools for comparing intuitionistic fuzzy values. This paper introduces a number of lexicographic orders by means of several measures such as the membership, non-membership, score, accuracy and expectation score functions. Some equivalent characterizations and illustrative examples are provided, from which the relationships among these lexicographic orders are ascertained. We also propose three different compatible properties of preorders with respect to the algebraic sum and scalar product operations of intuitionistic fuzzy values, and apply them to the investigation of compatible properties of various lexicographic orders. In addition, a benchmark problem regarding risk investment is further explored to give a comparative analysis of different lexicographic orders and highlight the practical value of the obtained results for solving real-world decision-making problems.

scholarly journals Expropriation risk, investment decisions and economic sectors

2015 ◽  
Vol 48 ◽  
pp. 326-342 ◽  
Author(s):  
Diana C. Restrepo Ochoa ◽  
Ricardo Correia ◽  
Juan Ignacio Peña ◽  
Javier Población
Keyword(s):  
Investment Decisions ◽  
Economic Sectors ◽  
Expropriation Risk ◽  
Risk Investment

scholarly journals The Optimal Selection for Restricted Linear Models with Average Estimator

2014 ◽  
Vol 2014 ◽  
pp. 1-13
Author(s):  
Qichang Xie ◽  
Meng Du
Keyword(s):  
Model Selection ◽  
Linear Models ◽  
Weighted Average ◽  
Selection Procedure ◽  
Information Criterion ◽  
Optimal Weights ◽  
Model Average ◽  
Squared Error ◽  
Generalized Information Criterion ◽  
Risk Investment

The essential task of risk investment is to select an optimal tracking portfolio among various portfolios. Statistically, this process can be achieved by choosing an optimal restricted linear model. This paper develops a statistical procedure to do this, based on selecting appropriate weights for averaging approximately restricted models. The method of weighted average least squares is adopted to estimate the approximately restricted models under dependent error setting. The optimal weights are selected by minimizing ak-class generalized information criterion (k-GIC), which is an estimate of the average squared error from the model average fit. This model selection procedure is shown to be asymptotically optimal in the sense of obtaining the lowest possible average squared error. Monte Carlo simulations illustrate that the suggested method has comparable efficiency to some alternative model selection techniques.

scholarly journals Profit Distribution Management Determinant (Empirical Study in Indonesian Sharia Banks)

2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Ardiani Ika Sulistyawati ◽  
Aristi Aprilia Asmaraputri ◽  
Aprih Santoso
Keyword(s):  
Data Analysis ◽  
Financial Risk ◽  
Sampling Method ◽  
Hypothesis Test ◽  
Third Party ◽  
Research Use ◽  
Distribution Management ◽  
Factors Affecting ◽  
Profit Distribution ◽  
Risk Investment

The purpose of this research is to know the factors affecting to profit distribution management of Sharia Banks in Indonesia on the period 2013 until 2016. Variabel dependent of this research is profit distribution management. While the independen of this research is capital adequancy, effectiviness of third party funds, financial risk, gross domestic of product growth, propotion of investment financial, proportion of third party funds, loss of earning assets, age of bank, BOPO, Bi-rate. This research use sharia banks which registered in Bank Indonesia on 2013 until 2016 period. Collecting data of this research use purposive sampling method. The test data analysis use classic assumption test, hypothesis test, and data analysis of multiple regression. The result of the hypothesis test is that capital adequancy, effectiveness of third party funds, financial risk, loss of earning assets, BOPO and Bi rate have no effect to profit distribution management. While gross domestic of product growth, proportion of investment, proportion of third party funds and age of bank have the effect of profit distriburion management. Keywords : Profit, Financial, Risk, Investment

scholarly journals ASSESSMENT OF MAIN LIST STOCKS AS AN INVESTMENT OBJECT IN THE BALTIC REGULATED MARKET

2019 ◽  
Vol 1 (11) ◽  
pp. 47
Author(s):  
Inta Kotāne
Keyword(s):  
Securities Market ◽  
Economic Research ◽  
Share Prices ◽  
Graphic Analysis ◽  
Analysis And Synthesis ◽  
The Baltic ◽  
Investment Object ◽  
Private Investors ◽  
Risk Investment ◽  
Quantitative And Qualitative Methods

The stock market, which could be seen as one of the types of securities market, is an unstructured environment in which every investor needs to understand how to invest. For a potential investor interested in shares as one of the objects of investment, it is possible to buy the shares and potentially earn despite the fact that an investment in shares is considered to be a very high-risk investment. The research aims to assess Baltic Main List stocks as an investment object in the Baltic regulated market. The research results showed that investors should assess and invest in the companies of the Baltic Main List on Nasdaq Vilnius and Nasdaq Riga if they plan to gain income from an increase in share prices and to assess and invest in the companies of the Baltic Main List on Nasdaq Tallinn and Nasdaq Riga if they plan to earn income from dividends. The author concludes that the use of an investment account has not been sufficiently popularised among individuals, which does not contribute to the development of savings culture in Latvia and in the other Baltic States. For the education of private investors and the promotion of making decisions on share purchases, it would be desirable for investors to offer summarised information on company shares and their characteristics on the Nasdaq website. The research employed general quantitative and qualitative methods for economic research, including comparative analysis and synthesis, statistical analysis and graphic analysis. 

Optimal selection of financial risk investment portfolio based on random matrix method

2020 ◽  
Vol 20 (3) ◽  
pp. 859-868
Author(s):  
Jie Tian ◽  
Kun Zhao
Keyword(s):  
Covariance Matrix ◽  
Random Matrix ◽  
Financial Risk ◽  
Good Effect ◽  
Investment Portfolio ◽  
Variance Model ◽  
Minimum Risk ◽  
The Mean ◽  
Risk Investment ◽  
Mean Variance

The optimization of investment portfolio is the key to financial risk investment. In this study, the investment portfolio was optimized by removing the noise of covariance matrix in the mean-variance model. Firstly, the mean-variance model and noise in covariance matrix were briefly introduced. Then, the correlation matrix was denoised by KR method (Sharifi S, Grane M, Shamaie A) from random matrix theory (RMT). Then, an example was given to analyze the application of the method in financial stock investment portfolio. It was found that the stability of the matrix was improved and the minimum risk was reduced after denoising. The study of minimum risk under different M values and stock number suggested that calculating the optimal value of M and stock number based on RMT could achieve optimal financial risk investment portfolio result. It shows that RMT has a good effect on portfolio optimization and is worth promoting widely.

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